• DocumentCode
    2103599
  • Title

    Quantitative Analysis Models for Shanghai Electricity Market

  • Author

    Liu Dun-nan ; Zhao Yan ; Li Lei

  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Basic: The Indexes System for electricity market is the basement for quantitative analysis of electricity market. It is very important to induce math tools to deal with these indexes. This paper will research on the quantitative analysis methods for Electricity Market, which is of significant meaning for the electricity market. It is a necessary mathematical tool helping the market supervisors to make decisions. This paper first put forward the quantitative analysis process, then introduce the vary mathematical models. At last, examples of the precaution indices system are presented in the paper to illustrate the qualitative analysis process, and the applications of many multi-analysis models, such as Cluster, Factor Analysis, Covariance Analysis, etc., are introduced to explain the quantitative analysis process. Examples and actual application for an electricity market in China are presented throughout the paper to illustrate the ideas.
  • Keywords
    decision making; power markets; Shanghai electricity market; cluster analysis; covariance analysis; decision making; electricity market; factor analysis; mathematical models; multianalysis models; precaution indices system; quantitative analysis models; Electricity supply industry; Electricity supply industry deregulation; Independent component analysis; Mathematical model; Power engineering and energy; Power generation; Power markets; Power system reliability; Statistical analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448838
  • Filename
    5448838